33 parallel-computing-numerical-methods-"Institute-of-Computer-Science" PhD positions at EPFL
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Physics, Optics, Micro-/Nanotechnology, Materials Science, Energy, or a related quantitative field A strong background in several of the following fields: theory of light-matter interaction, computer
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reinforced concrete and unreinforced masonry buildings. Our approaches include numerical and mechanical modeling, large-scale testing as well as data-driven methods. The PhD candidates will contribute to
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newly funded Swiss National Science Foundation (SNSF) project: “Multiscale Modelling of Cracked Reinforced Concrete: From Aggregate Interlock to Structural Assessment”. The positions are expected to
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EPFL, the Swiss Federal Institute of Technology in Lausanne, is one of the most dynamic university campuses in Europe and ranks among the top 20 universities worldwide. The EPFL employs more than
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international universities. CANDIDATE PROFILE We are looking for a PhD candidate with a strong analytical background and an outstanding MSc degree in Computer Science, Robotics, Chemical/Process
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excellent Master’s-level degree in Micro-/Nanotechnology, Physics, Materials Science, Energy, or a related quantitative field A strong background in several of the following fields: reactive magnetron
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Mathematics Mission The Institute of Mathematics at the Ecole Polytechnique Fédérale de Lausanne (EPFL) invites applications for two full-time instructorships in Discrete Mathematics. Profil Bernoulli
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and ice nucleating particles Data analysis of observations, numerical model output and remote sensing data Tight collaboration with the project partners and participation in working meetings Teaching
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EPFL, the Swiss Federal Institute of Technology in Lausanne, is one of the most dynamic university campuses in Europe and ranks among the top 20 universities worldwide. The EPFL employs more than
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profile You have a master’s degree in computer science. You have experience with the humanitarian sector and/or in remote sensing. You are proficient in Python coding and deep learning frameworks. You are